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and Johannes K\"astner — most-cited papers & profile · AI for Science
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overview
and Johannes K\"astner
5
papers ·
51
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water
2023 · 24 citations
Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments
2023 · 23 citations
Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials
2023 · 4 citations
Potential energy surface interpolation with neural networks for instanton rate calculations
2020
Transfer learning for chemically accurate interatomic neural network potentials
2022
Top co-authors
David Holzm\"uller
· 3
Viktor Zaverkin
· 2
Viktor Zaverkin
· 2
Andreas K\"ohn
· 1
April M. Cooper
· 1
Fabian Zills
· 1
Federico Errica
· 1
Francesco Alesiani
· 1
Henrik Christiansen
· 1
Julia Netz
· 1
Luca Bonfirraro
· 1
Makoto Takamoto
· 1
Topics
Chemistry
Materials
Physics ML